Evidence map›Paper›PMID 41559307›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Age at diagnosis, lifestyle factors, and risk of mortality: a city-wide cohort study of cancer survivors.

Xiaoyi Lin, Huan Xu, Suixiang Wang, Yuanyuan Chen, Ke Li, Boheng Liang, Lin Xu

Abstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoyi Lin *School of Public Health, Sun Yat-Sen University, No. 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China.
Huan Xu *Guangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China.
Suixiang WangGuangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China.
Yuanyuan ChenGuangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China.
Ke LiGuangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China.
Boheng LiangGuangzhou Center for Disease Control and Prevention, No.1 Qide Road, Baiyun District, Guangzhou, 510403, China. 14927462@qq.com.
Lin XuSchool of Public Health, Sun Yat-Sen University, No. 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China. xulin27@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 82373661Special Foundation for Science and Technology Basic Research Program 2019FY101103
6 · The paper itself

Abstract

backgroundThe growing global cancer burden highlights the urgent need to improve long-term outcomes among cancer survivors. Age-related biological changes may modify the associations between lifestyle factors and mortality, yet the joint effects of diagnostic age and lifestyle factors remain poorly understood.

methodsCancer survivors diagnosed between 2010 and 2018 in Guangzhou were followed up until 2023. Associations of lifestyle factors with all-cause mortality risk were examined, stratified by early-onset (< 50 years) and late-onset (≥ 50 years) cancers. Interactions were evaluated on multiplicative and additive scales.

resultsAmong 22,079 cancer survivors, 10,839 deaths occurred during a median follow-up of 4.14 years. An antagonistic interaction of diagnostic age with physical activity on all-cause mortality risk was observed. Compared with inactivity, physical activity (≥ 150 min/week) was associated with a 15% lower risk of all-cause mortality (restricted mean survival time [RMST] difference: 0.29 years) in early-onset survivors and a 23% lower risk in late-onset survivors (RMST difference: 0.69 years). A synergistic interaction of diagnostic age with sleep duration was observed. Compared with 7 h/day, short sleep duration (≤ 5 h/day) was associated with a higher mortality risk (RMST difference: -0.43 years) in early-onset survivors, while 8 h/day was associated with a lower risk in late-onset survivors (RMST difference: 0.13 years).

conclusionsSufficient physical activity and sleep duration were significantly associated with improved survival, with their effects varying by diagnostic age. These findings underscore the importance of tailored lifestyle management strategies for early-/late-onset cancer survivors to mitigate mortality burden.

Indexed as

Cancer SurvivorsLife StyleNeoplasmsAdultAgedAge FactorsAge of OnsetChinaCohort StudiesExerciseFemaleHumansMaleMiddle AgedRisk FactorsSleep DurationCancer survivorsCohort studyDiagnostic ageLifestyleMortality

Identifiers

PMID41559307
PMCPMC12819554

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.